Senior Data Scientist – ML Product Development

The Role This role sits at the intersection of data science, software engineering, and product innovation — perfect for someone who loves seeing their models come to life in real-world applications. You’ll have the opportunity to see your ML work directly shape user experiences and business outcomes in a collaborative, data-driven culture that values innovation and continuous learning.Job Responsibilities• Design, develop, and deploy machine learning models and algorithms that solve core product challenges (e.g., recommendations, predictions, personalization, automation) with real-time instrumentation.• Analyze and interpret large datasets generated by software systems, identifying patterns, anomalies, and behavioral trends.• Design, train, and validate Machine Learning models for prediction, classification, clustering, and anomaly detection• Collaborate with cross-functional teams (engineering, product, design) to integrate ML models into production systems.• Prototype and experiment with new model architectures and data sources to continuously improve product performance.• Monitor and evaluate model performance in production, ensuring robustness, fairness, and scalability.• Communicate insights and model results clearly to both technical and non-technical audiences.• Contribute to data infrastructure and pipelines that support model training, testing, and deployment.• Stay current on advances in machine learning, AI, and data engineering — and help bring new ideas into production.• Excellent communication skills; translating data and communicating it to internal experts, making critical decisions in collaboration with other disciplines.Required Qualifications• Master’s or PhD in Computer Science, Data Science, Statistics, Applied Mathematics, or related field (or equivalent experience).• 3+ years of experience building and deploying ML models in production environments, with 5-8+ years of relevant experience.• Must have hands-on experience integrating AI models with sensor data, control logic, and signal processing pipelines to improve the accuracy, performance, and predictive capabilities of physical hardware systems.• Strong proficiency in Python and popular ML libraries (e.g., scikit-learn, PyTorch, TensorFlow, XGBoost).• Hands-on experience of data preprocessing, feature engineering, and model evaluation.• Solid knowledge of statistics, predictive modeling, and experimental methods• Experience working with cloud-based ML platforms (AWS Sagemaker, GCP Vertex AI, or Azure ML) and containerization (Docker or similar)• Familiarity with software engineering best practices (version control, testing, CI/CD)Preferred Qualifications• 10+ years experience in production level firmware or software engineering for real-time systems, or equivalent product development experience• Experience developing ML-powered product features (e.g. Predictive maintenance, personalization, recommendations).• Knowledge of A/B testing, experimentation frameworks, and data-driven product iteration.• Understanding of MLOps principles and tools for scalable model deployment and monitoring.• Excellent communication and collaboration skills; ability to translate complex models into actionable insights.Work Environment & Physical Requirements• This role primarily operates in an office/lab/manufacturing environment. Must be able to sit, stand, and use a computer for extended periods of time• Occasional lifting of up to 20 lbs. independently may be required• This role involves occasional working in laboratory environments that include exposure to X-rays, radiation, and biological materials. All work is performed following established safety protocols and regulatory guidelines• Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions of this roleCompensation & Benefits• Competitive base salary range: $150000 - 170000Our compensation philosophy: we offer competitive pay based on market data, including local, national, and industry benchmarks. For new hires, offers are generally within the established min- to mid-point of the range for the role, with flexibility to recognize experience, skills, and education. Our approach ensures fair pay internally while remaining competitive externally and allows room for growth.• Comprehensive benefits package:Health coverage: medical, dental, vision, fsa, onsite clinic (CO employees), life insurance401(k) retirement plan with company matchVacation, holiday, and leave policiesTuition reimbursement, Employee recognition programs, Employee assistance programsParticle Measuring Systems is proud to be an Equal Opportunity Employer and are committed to building an inclusive and supportive workplace where everyone can thrive.